Triple

T27185117
Position Surface form Disambiguated ID Type / Status
Subject Badlands Loop Road E683308 entity
Predicate near P350 FINISHED
Object Buffalo Gap National Grassland
Buffalo Gap National Grassland is a vast protected prairie landscape in South Dakota known for its mixed-grass ecosystems, wildlife habitat, and opportunities for recreation such as hiking, camping, and wildlife viewing.
E1761739 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Buffalo Gap National Grassland | Statement: [Badlands Loop Road, near, Buffalo Gap National Grassland]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buffalo Gap National Grassland
Triple: [Badlands Loop Road, near, Buffalo Gap National Grassland]
Generated description
Buffalo Gap National Grassland is a vast protected prairie landscape in South Dakota known for its mixed-grass ecosystems, wildlife habitat, and opportunities for recreation such as hiking, camping, and wildlife viewing.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69eefad140408190b8586fdebcf9af46 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6258005888190b9288f7fc40f23d0 completed May 2, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12539046f88190a8919ecac6d47ae4 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a1254e770288190994c682cfe0f8c9d completed May 24, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a12558ffcd08190b9a167ead908e052 completed May 24, 2026, 1:34 a.m.
Created at: April 27, 2026, 9:30 a.m.